{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluating the Results\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quick look at the data\n",
    "\n",
    "Just as a quick reference to remember which columns are available.\n",
    "Double check for stupid mistakes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>instance_name</th>\n",
       "      <th>num_nodes</th>\n",
       "      <th>time_limit</th>\n",
       "      <th>strategy</th>\n",
       "      <th>opt_tol</th>\n",
       "      <th>runtime</th>\n",
       "      <th>objective</th>\n",
       "      <th>lower_bound</th>\n",
       "      <th>opt_gap</th>\n",
       "      <th>opt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.094591</td>\n",
       "      <td>33522.0</td>\n",
       "      <td>33522.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
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       "      <th>301</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
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       "      <td>Dantzig (Gurobi)</td>\n",
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       "      <td>33522.0</td>\n",
       "      <td>33431.0</td>\n",
       "      <td>0.002715</td>\n",
       "      <td>False</td>\n",
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       "      <th>302</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
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       "      <td>0.049895</td>\n",
       "      <td>33522.0</td>\n",
       "      <td>33431.0</td>\n",
       "      <td>0.002715</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.034748</td>\n",
       "      <td>36559.0</td>\n",
       "      <td>33059.0</td>\n",
       "      <td>0.095736</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.022031</td>\n",
       "      <td>36559.0</td>\n",
       "      <td>31669.0</td>\n",
       "      <td>0.133756</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.001</td>\n",
       "      <td>185.639632</td>\n",
       "      <td>834126.0</td>\n",
       "      <td>93868.0</td>\n",
       "      <td>0.887465</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.010</td>\n",
       "      <td>183.571639</td>\n",
       "      <td>742170.0</td>\n",
       "      <td>93833.0</td>\n",
       "      <td>0.873569</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.050</td>\n",
       "      <td>186.742688</td>\n",
       "      <td>866567.0</td>\n",
       "      <td>93833.0</td>\n",
       "      <td>0.891719</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.100</td>\n",
       "      <td>183.098925</td>\n",
       "      <td>780813.0</td>\n",
       "      <td>93749.0</td>\n",
       "      <td>0.879934</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.250</td>\n",
       "      <td>129.042056</td>\n",
       "      <td>809226.0</td>\n",
       "      <td>93783.0</td>\n",
       "      <td>0.884108</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>560 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    instance_name  num_nodes  time_limit              strategy  opt_tol  \\\n",
       "300         att48         48          90      Dantzig (Gurobi)    0.001   \n",
       "301         att48         48          90      Dantzig (Gurobi)    0.010   \n",
       "302         att48         48          90      Dantzig (Gurobi)    0.050   \n",
       "303         att48         48          90      Dantzig (Gurobi)    0.100   \n",
       "304         att48         48          90      Dantzig (Gurobi)    0.250   \n",
       "..            ...        ...         ...                   ...      ...   \n",
       "155         pr439        439          90  Miller-Tucker-Zemlin    0.001   \n",
       "156         pr439        439          90  Miller-Tucker-Zemlin    0.010   \n",
       "157         pr439        439          90  Miller-Tucker-Zemlin    0.050   \n",
       "158         pr439        439          90  Miller-Tucker-Zemlin    0.100   \n",
       "159         pr439        439          90  Miller-Tucker-Zemlin    0.250   \n",
       "\n",
       "        runtime  objective  lower_bound   opt_gap    opt  \n",
       "300    0.094591    33522.0      33522.0  0.000000   True  \n",
       "301    0.064021    33522.0      33431.0  0.002715  False  \n",
       "302    0.049895    33522.0      33431.0  0.002715  False  \n",
       "303    0.034748    36559.0      33059.0  0.095736  False  \n",
       "304    0.022031    36559.0      31669.0  0.133756  False  \n",
       "..          ...        ...          ...       ...    ...  \n",
       "155  185.639632   834126.0      93868.0  0.887465  False  \n",
       "156  183.571639   742170.0      93833.0  0.873569  False  \n",
       "157  186.742688   866567.0      93833.0  0.891719  False  \n",
       "158  183.098925   780813.0      93749.0  0.879934  False  \n",
       "159  129.042056   809226.0      93783.0  0.884108  False  \n",
       "\n",
       "[560 rows x 10 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from _conf import SIMPLIFIED_RESULTS, PUBLIC_DATA\n",
    "\n",
    "results = pd.read_json(SIMPLIFIED_RESULTS)\n",
    "results[\"opt_gap\"] = (results[\"objective\"] - results[\"lower_bound\"]) / results[\n",
    "    \"objective\"\n",
    "]\n",
    "results[\"strategy\"].replace(\n",
    "    {\n",
    "        \"GurobiTspSolver\": \"Dantzig (Gurobi)\",\n",
    "        \"CpSatTspSolverV1\": \"AddCircuit\",\n",
    "        \"CpSatTspSolverDantzig\": \"Iterative Dantzig\",\n",
    "        \"CpSatTspSolverMtz\": \"Miller-Tucker-Zemlin\",\n",
    "    },\n",
    "    inplace=True,\n",
    ")\n",
    "results[\"opt\"] = results[\"opt_gap\"] <= 0.001\n",
    "results.sort_values([\"num_nodes\", \"instance_name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>300</th>\n",
       "      <td>att48</td>\n",
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       "      <th>305</th>\n",
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       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
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       "      <td>33522.0</td>\n",
       "      <td>33522.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>att48</td>\n",
       "      <td>48</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.001</td>\n",
       "      <td>90.130786</td>\n",
       "      <td>33522.0</td>\n",
       "      <td>33369.0</td>\n",
       "      <td>0.004564</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>eil51</td>\n",
       "      <td>51</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.074540</td>\n",
       "      <td>426.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>linhp318</td>\n",
       "      <td>318</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.001</td>\n",
       "      <td>175.084687</td>\n",
       "      <td>84918.0</td>\n",
       "      <td>39016.0</td>\n",
       "      <td>0.540545</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Dantzig (Gurobi)</td>\n",
       "      <td>0.001</td>\n",
       "      <td>78.487351</td>\n",
       "      <td>107217.0</td>\n",
       "      <td>107127.0</td>\n",
       "      <td>0.000839</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>AddCircuit</td>\n",
       "      <td>0.001</td>\n",
       "      <td>94.220632</td>\n",
       "      <td>163452.0</td>\n",
       "      <td>105610.0</td>\n",
       "      <td>0.353878</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Iterative Dantzig</td>\n",
       "      <td>0.001</td>\n",
       "      <td>94.878760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95411.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>pr439</td>\n",
       "      <td>439</td>\n",
       "      <td>90</td>\n",
       "      <td>Miller-Tucker-Zemlin</td>\n",
       "      <td>0.001</td>\n",
       "      <td>185.639632</td>\n",
       "      <td>834126.0</td>\n",
       "      <td>93868.0</td>\n",
       "      <td>0.887465</td>\n",
       "      <td>False</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    instance_name  num_nodes  time_limit              strategy  opt_tol  \\\n",
       "300         att48         48          90      Dantzig (Gurobi)    0.001   \n",
       "305         att48         48          90            AddCircuit    0.001   \n",
       "310         att48         48          90     Iterative Dantzig    0.001   \n",
       "315         att48         48          90  Miller-Tucker-Zemlin    0.001   \n",
       "260         eil51         51          90      Dantzig (Gurobi)    0.001   \n",
       "..            ...        ...         ...                   ...      ...   \n",
       "295      linhp318        318          90  Miller-Tucker-Zemlin    0.001   \n",
       "140         pr439        439          90      Dantzig (Gurobi)    0.001   \n",
       "145         pr439        439          90            AddCircuit    0.001   \n",
       "150         pr439        439          90     Iterative Dantzig    0.001   \n",
       "155         pr439        439          90  Miller-Tucker-Zemlin    0.001   \n",
       "\n",
       "        runtime  objective  lower_bound   opt_gap    opt  \n",
       "300    0.094591    33522.0      33522.0  0.000000   True  \n",
       "305    0.466354    33522.0      33522.0  0.000000   True  \n",
       "310   89.832668    33522.0      33522.0  0.000000   True  \n",
       "315   90.130786    33522.0      33369.0  0.004564  False  \n",
       "260    0.074540      426.0        426.0  0.000000   True  \n",
       "..          ...        ...          ...       ...    ...  \n",
       "295  175.084687    84918.0      39016.0  0.540545  False  \n",
       "140   78.487351   107217.0     107127.0  0.000839   True  \n",
       "145   94.220632   163452.0     105610.0  0.353878  False  \n",
       "150   94.878760        NaN      95411.0       NaN  False  \n",
       "155  185.639632   834126.0      93868.0  0.887465  False  \n",
       "\n",
       "[112 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = results.sort_values([\"num_nodes\", \"instance_name\"])\n",
    "t[t[\"opt_tol\"] == 0.001]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set_theme()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Looking at the runtime\n",
    "\n",
    "We can take a quick look at the runtime of the different models.\n",
    "This is a good sanity check to see if the models are actually running.\n",
    "However, you will notice the sigmoidal shape of the runtime.\n",
    "The instances do not suddenly get easier, but the runtime is limited by the timeout.\n",
    "The true runtime can be expected to be an exponential curve.\n",
    "For this reason, this is not a good metric to compare the models and may be misleading."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th rowspan=\"4\" valign=\"top\">48</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>0.466354</td>\n",
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       "    <tr>\n",
       "      <th>Dantzig (Gurobi)</th>\n",
       "      <td>0.094591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iterative Dantzig</th>\n",
       "      <td>89.832668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>90.130786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>0.690657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>222.491643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">439</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>94.220632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dantzig (Gurobi)</th>\n",
       "      <td>78.487351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iterative Dantzig</th>\n",
       "      <td>94.878760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>185.639632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   runtime\n",
       "num_nodes strategy                        \n",
       "48        AddCircuit              0.466354\n",
       "          Dantzig (Gurobi)        0.094591\n",
       "          Iterative Dantzig      89.832668\n",
       "          Miller-Tucker-Zemlin   90.130786\n",
       "51        AddCircuit              0.690657\n",
       "...                                    ...\n",
       "318       Miller-Tucker-Zemlin  222.491643\n",
       "439       AddCircuit             94.220632\n",
       "          Dantzig (Gurobi)       78.487351\n",
       "          Iterative Dantzig      94.878760\n",
       "          Miller-Tucker-Zemlin  185.639632\n",
       "\n",
       "[80 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "\n",
    "t = results.sort_values([\"num_nodes\", \"instance_name\"])\n",
    "t = t[t[\"opt_tol\"] == 0.001]\n",
    "display(t.groupby([\"num_nodes\", \"strategy\"])[[\"runtime\"]].mean())\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "sns.lineplot(data=t.sort_values(\"strategy\"), x=\"num_nodes\", y=\"runtime\", hue=\"strategy\")\n",
    "plt.ylabel(\"Runtime (s)\")\n",
    "plt.title(\"Lower is better\")\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.xlabel(\"Number of nodes\")\n",
    "plt.ylim(-5, 120)\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"runtime.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting how many instances could still be solved to optimality\n",
    "\n",
    "This is a more interesting metric.\n",
    "Suddenly, we also see some differences between the `CpSatTspSolverMtz` and `CpSatTspSolverDantzig` models.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>opt_perc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>num_nodes</th>\n",
       "      <th>strategy</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">48</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dantzig (Gurobi)</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iterative Dantzig</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">439</th>\n",
       "      <th>AddCircuit</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dantzig (Gurobi)</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iterative Dantzig</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miller-Tucker-Zemlin</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                opt_perc\n",
       "num_nodes strategy                      \n",
       "48        AddCircuit               100.0\n",
       "          Dantzig (Gurobi)         100.0\n",
       "          Iterative Dantzig        100.0\n",
       "          Miller-Tucker-Zemlin       0.0\n",
       "51        AddCircuit               100.0\n",
       "...                                  ...\n",
       "318       Miller-Tucker-Zemlin       0.0\n",
       "439       AddCircuit                 0.0\n",
       "          Dantzig (Gurobi)         100.0\n",
       "          Iterative Dantzig          0.0\n",
       "          Miller-Tucker-Zemlin       0.0\n",
       "\n",
       "[80 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = results.sort_values([\"num_nodes\", \"instance_name\"])\n",
    "t = t[t[\"opt_tol\"] == 0.001]\n",
    "t[\"opt_perc\"] = t[\"opt\"] * 100\n",
    "display(t.groupby([\"num_nodes\", \"strategy\"])[[\"opt_perc\"]].mean())\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "t.rename(columns={\"strategy\": \"Strategy\"}, inplace=True)\n",
    "sns.lineplot(\n",
    "    data=t.sort_values(\"Strategy\"), x=\"num_nodes\", y=\"opt_perc\", hue=\"Strategy\"\n",
    ")\n",
    "plt.ylabel(\"Instances solved to optimality (%)\")\n",
    "plt.xlabel(\"Number of nodes\")\n",
    "plt.title(\"Higher is better\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"solved_over_size.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, getting nearly optimal solutions is often signficantly easier than getting optimal solutions.\n",
    "For this reason, we may also want to check if the performance changes when we relax the optimality tolerance.\n",
    "Often, the data is inaccurate anyway, such that a 5% or even 20% optimality gap can be acceptable.\n",
    "We actually see that the `CpSatTspSolvingMtz` is better than `CpSatTspSolvingDantzig` for a 20% optimality gap.\n",
    "Also the `CpSatTspSolvingV1` model can solve significantly larger models if we relax the optimality tolerance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Same plot but this time use the best lower bound available for each instance.\n",
    "opt_gaps = [0.001, 0.01, 0.05, 0.1, 0.2]\n",
    "data = []\n",
    "for opt_gap in opt_gaps:\n",
    "    t = results[results[\"opt_tol\"] == 0.001].copy()\n",
    "    t[\"opt_gap\"] = (t[\"objective\"] - t[\"lower_bound\"]) / t[\"lower_bound\"]\n",
    "    t[\"succ\"] = t[\"opt_gap\"] <= opt_gap\n",
    "    t[\"Opt. Tolerance\"] = f\"{100 * opt_gap}%\"\n",
    "    t[\"opt_tol\"] = opt_gap\n",
    "    data.append(t)\n",
    "t = pd.concat(data)\n",
    "t[\"succ_perc\"] = t[\"succ\"] * 100\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "t.rename(columns={\"strategy\": \"Strategy\"}, inplace=True)\n",
    "sns.lineplot(\n",
    "    data=t.sort_values([\"Strategy\", \"opt_tol\"]),\n",
    "    x=\"num_nodes\",\n",
    "    y=\"succ_perc\",\n",
    "    hue=\"Strategy\",\n",
    "    style=\"Opt. Tolerance\",\n",
    "    errorbar=None,\n",
    ")\n",
    "plt.ylabel(\"Instances solved (%)\")\n",
    "plt.xlabel(\"Number of nodes\")\n",
    "plt.xlim(0, 850)\n",
    "plt.title(\"Higher is better\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"solved_over_size_opt_tol.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A further point to consider is that the optimality gap is always calculated based on the own lower bound.\n",
    "If we need solutions with a quality estimate, this is the way to go.\n",
    "If we do not need the quality estimate, we can also use the best lower bound of all solvers to get a better estimate on the real optimality gap.\n",
    "This is what we do in the next section.\n",
    "The decision on which bound to use depends on the use case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Same plot but this time use the best lower bound available for each instance.\n",
    "opt_gaps = [0.001, 0.01, 0.05, 0.1, 0.2]\n",
    "data = []\n",
    "best_lb = results.groupby([\"instance_name\"])[[\"lower_bound\"]].max().reset_index()\n",
    "for opt_gap in opt_gaps:\n",
    "    t = (\n",
    "        results[results[\"opt_tol\"] == 0.001]\n",
    "        .merge(best_lb, on=\"instance_name\", suffixes=(\"\", \"_best_lb\"))\n",
    "        .copy()\n",
    "    )\n",
    "    t[\"opt_gap\"] = (t[\"objective\"] - t[\"lower_bound_best_lb\"]) / t[\n",
    "        \"lower_bound_best_lb\"\n",
    "    ]\n",
    "    t[\"succ\"] = t[\"opt_gap\"] <= opt_gap\n",
    "    t[\"Opt. Tolerance\"] = f\"{100 * opt_gap}%\"\n",
    "    t[\"opt_tol\"] = opt_gap\n",
    "    data.append(t)\n",
    "t = pd.concat(data)\n",
    "t[\"succ_perc\"] = t[\"succ\"] * 100\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "t.rename(columns={\"strategy\": \"Strategy\"}, inplace=True)\n",
    "sns.lineplot(\n",
    "    data=t.sort_values([\"Strategy\", \"opt_tol\"]),\n",
    "    x=\"num_nodes\",\n",
    "    y=\"succ_perc\",\n",
    "    hue=\"Strategy\",\n",
    "    style=\"Opt. Tolerance\",\n",
    "    errorbar=None,\n",
    ")\n",
    "plt.ylabel(\"Instances solved (%)\")\n",
    "plt.xlabel(\"Number of nodes\")\n",
    "plt.xlim(0, 850)\n",
    "plt.title(\"Higher is better\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"solved_over_size_opt_tol_best_lb.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparing on unstructured benchmarks\n",
    "\n",
    "The line plots above need a well structured benchmark to compute reliable data points.\n",
    "If you do not have such a benchmark, you may want to go for the following plot which shows how many instances of the benchmark could be solved within a given time limit.\n",
    "This also gives an insight into how fast the model can deal with simple instances.\n",
    "In this specific case, we see that the `CpSatTspSolvingMtz` can solve more instances than `CpSatTspSolvingDantzig`, but `CpSatTspSolvingDantzig` is usually faster for the instances it can solve.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from _conf import TIME_LIMIT, OPTIMALITY_TOLERANCES\n",
    "\n",
    "time_steps = [t_ for t_ in range(0, TIME_LIMIT)]\n",
    "filtered_results = results[results[\"opt_gap\"] <= 1.001 * results[\"opt_tol\"]].copy()\n",
    "\n",
    "\n",
    "def f(strategy, at_time, tol):\n",
    "    t = filtered_results[filtered_results[\"strategy\"] == strategy]\n",
    "    t = t[t[\"runtime\"] <= at_time]\n",
    "    t = t[t[\"opt_tol\"] == tol]\n",
    "    t.drop_duplicates(subset=[\"instance_name\"], inplace=True)\n",
    "    return len(t)\n",
    "\n",
    "\n",
    "data = {\n",
    "    \"Strategy\": [],\n",
    "    \"x\": [],\n",
    "    \"time\": [],\n",
    "    \"Opt. Tolerance\": [],\n",
    "    \"opt_tol\": [],\n",
    "}\n",
    "\n",
    "for strateg in results[\"strategy\"].unique().tolist():\n",
    "    for time in time_steps:\n",
    "        for tol in OPTIMALITY_TOLERANCES:\n",
    "            data[\"Strategy\"].append(strateg)\n",
    "            data[\"x\"].append(time)\n",
    "            data[\"time\"].append(f(strateg, time, tol))\n",
    "            data[\"Opt. Tolerance\"].append(f\"{tol * 100}%\")\n",
    "            data[\"opt_tol\"].append(tol)\n",
    "t = pd.DataFrame(data)\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "sns.lineplot(\n",
    "    data=t.sort_values([\"Strategy\", \"opt_tol\"]),\n",
    "    x=\"x\",\n",
    "    y=\"time\",\n",
    "    hue=\"Strategy\",\n",
    "    style=\"Opt. Tolerance\",\n",
    "    errorbar=None,\n",
    ")\n",
    "plt.ylabel(\"Num. instances solved\")\n",
    "plt.xlim(-5, 150)\n",
    "plt.xlabel(\"Time (s)\")\n",
    "plt.title(\"Higher is better\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"cactus_plot_opt_tol.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from _conf import TIME_LIMIT, OPTIMALITY_TOLERANCES\n",
    "\n",
    "time_steps = [t_ for t_ in range(0, TIME_LIMIT)]\n",
    "filtered_results = results[results[\"opt_gap\"] <= 1.001 * results[\"opt_tol\"]].copy()\n",
    "\n",
    "\n",
    "def f(strategy, at_time, tol):\n",
    "    t = filtered_results[filtered_results[\"strategy\"] == strategy]\n",
    "    t = t[t[\"runtime\"] <= at_time]\n",
    "    t = t[t[\"opt_tol\"] == tol]\n",
    "    t.drop_duplicates(subset=[\"instance_name\"], inplace=True)\n",
    "    return len(t)\n",
    "\n",
    "\n",
    "data = {\n",
    "    \"Strategy\": [],\n",
    "    \"x\": [],\n",
    "    \"time\": [],\n",
    "    \"Opt. Tolerance\": [],\n",
    "}\n",
    "\n",
    "for strateg in results[\"strategy\"].unique().tolist():\n",
    "    for time in time_steps:\n",
    "        for tol in OPTIMALITY_TOLERANCES[:1]:\n",
    "            data[\"Strategy\"].append(strateg)\n",
    "            data[\"x\"].append(time)\n",
    "            data[\"time\"].append(f(strateg, time, tol))\n",
    "            data[\"Opt. Tolerance\"].append(tol * 100)\n",
    "t = pd.DataFrame(data)\n",
    "plt.figure(figsize=(7, 3.5))\n",
    "sns.lineplot(\n",
    "    data=t.sort_values(\"Strategy\"), x=\"x\", y=\"time\", hue=\"Strategy\", errorbar=None\n",
    ")\n",
    "plt.ylabel(\"Num. instances solved to optimality\")\n",
    "plt.xlim(-5, 150)\n",
    "plt.xlabel(\"Time (s)\")\n",
    "plt.title(\"Higher is better\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(PUBLIC_DATA / \"cactus_plot.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "| instance_name   |   num_nodes |   runtime |   lower_bound |   objective |   opt_gap |\n",
      "|:----------------|------------:|----------:|--------------:|------------:|----------:|\n",
      "| att48           |          48 |      0.47 |         33522 |       33522 |      0    |\n",
      "| eil51           |          51 |      0.69 |           426 |         426 |      0    |\n",
      "| st70            |          70 |      0.8  |           675 |         675 |      0    |\n",
      "| eil76           |          76 |      2.49 |           538 |         538 |      0    |\n",
      "| pr76            |          76 |     54.36 |        108159 |      108159 |      0    |\n",
      "| kroD100         |         100 |      9.72 |         21294 |       21294 |      0    |\n",
      "| kroC100         |         100 |      5.57 |         20749 |       20749 |      0    |\n",
      "| kroB100         |         100 |      6.2  |         22141 |       22141 |      0    |\n",
      "| kroE100         |         100 |      9.06 |         22049 |       22068 |      0    |\n",
      "| kroA100         |         100 |      8.41 |         21282 |       21282 |      0    |\n",
      "| eil101          |         101 |      2.24 |           629 |         629 |      0    |\n",
      "| lin105          |         105 |      1.37 |         14379 |       14379 |      0    |\n",
      "| pr107           |         107 |      1.2  |         44303 |       44303 |      0    |\n",
      "| pr124           |         124 |     33.8  |         59009 |       59030 |      0    |\n",
      "| pr136           |         136 |     35.98 |         96767 |       96861 |      0    |\n",
      "| pr144           |         144 |     21.27 |         58534 |       58571 |      0    |\n",
      "| kroB150         |         150 |     58.44 |         26130 |       26130 |      0    |\n",
      "| kroA150         |         150 |     90.94 |         26498 |       26977 |      0.02 |\n",
      "| pr152           |         152 |     15.28 |         73682 |       73682 |      0    |\n",
      "| kroA200         |         200 |     90.99 |         29209 |       29459 |      0.01 |\n",
      "| kroB200         |         200 |     31.69 |         29437 |       29437 |      0    |\n",
      "| pr226           |         226 |     74.61 |         80369 |       80369 |      0    |\n",
      "| gil262          |         262 |     91.58 |          2365 |        2416 |      0.02 |\n",
      "| pr264           |         264 |     92.03 |         49121 |       49512 |      0.01 |\n",
      "| pr299           |         299 |     92.18 |         47709 |       49217 |      0.03 |\n",
      "| linhp318        |         318 |     92.45 |         41915 |       52032 |      0.19 |\n",
      "| lin318          |         318 |     92.43 |         41915 |       52025 |      0.19 |\n",
      "| pr439           |         439 |     94.22 |        105610 |      163452 |      0.35 |\n"
     ]
    }
   ],
   "source": [
    "# to markdown\n",
    "print(\n",
    "    results[(results[\"opt_tol\"] == 0.001) & (results[\"strategy\"] == \"AddCircuit\")]\n",
    "    .groupby([\"instance_name\"])[\n",
    "        [\"num_nodes\", \"runtime\", \"lower_bound\", \"objective\", \"opt_gap\"]\n",
    "    ]\n",
    "    .mean()\n",
    "    .round(2)\n",
    "    .sort_values(\"num_nodes\")\n",
    "    .to_markdown()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "mo310",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
